Se Dong Min

Professor

Soonchunhyang University

South Korea

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About

Professor Se Dong Min is a faculty member at Soonchunhyang University, South Korea. His research focuses on wearable technology, machine learning applications in medical diagnostics, and human activity recognition. Recent publications include studies on pressure sensor analysis for walking speed estimation and the application of deep learning in the classification of lung diseases from chest X-ray images.

Articles (14)

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2025

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2022

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2020

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2020

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2020

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2020

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2020

Collaborators (3)

Min Hong

Professor

Soonchunhyang University

SOUTH KOREA

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Young Kim

Research Professor

Soonchunhyang University

SOUTH KOREA

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Ahyoung Lee

Assistant Professor

Kennesaw State University

UNITED STATES

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Se Dong Min

Research Interests

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About

Articles (14)

Walking Speed Estimation With Insole Pressure Sensor: Detailed Analysis Using Ablation Tests

Enhancing the Transformer Model with a Convolutional Feature Extractor Block and Vector-Based Relative Position Embedding for Human Activity Recognition

Exploring Achilles Tendon Vibration Data Classification for Balance Training: A Wavelet-Based Machine Learning Approach

Assessing Pain Levels Using Bioelectrical Impedance in Low Back Pain Patients: Clinical Performance Evaluation

Expiratory Flow and Volume Estimation Through Thermal-CO$ {}_{\text{2}} $ Imaging

Joint Angles Estimation Based on Center of Force With Artificial Neural Network and Convolutional Neural Network

Deep Learning in Multi-Class Lung Diseases’ Classification on Chest X-ray Images

Customized Textile Capacitive Insole Sensor for Center of Pressure Analysis

A Convolution Neural Network Approach to Access Knee Joint Angle Using Foot Pressure Mapping Images: A Preliminary Investigation

Development and feasibility test of a capacitive belt sensor for noninvasive respiration monitoring in different postures

Synchrotron radiation‐based analysis of fatigue in dental restorative materials

Smart Helmet and Insole Sensors for Near Fall Incidence Recognition during Descent of Stairs

Activity and Safety Recognition using Smart Work Shoes for Construction Worksite

Deep Learning in Physiological Signal Data: A Survey

Collaborators (3)

Min Hong

Young Kim

Ahyoung Lee

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